CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Automatic Text Summarization

by Roshna Chettri, Udit Kr. Chakraborty
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 1
Year of Publication: 2017
Authors: Roshna Chettri, Udit Kr. Chakraborty
10.5120/ijca2017912326

Roshna Chettri, Udit Kr. Chakraborty . Automatic Text Summarization. International Journal of Computer Applications. 161, 1 ( Mar 2017), 5-7. DOI=10.5120/ijca2017912326

@article{ 10.5120/ijca2017912326,
author = { Roshna Chettri, Udit Kr. Chakraborty },
title = { Automatic Text Summarization },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 1 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number1/27110-2017912326/ },
doi = { 10.5120/ijca2017912326 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:32.874455+05:30
%A Roshna Chettri
%A Udit Kr. Chakraborty
%T Automatic Text Summarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 1
%P 5-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Summarization is the art of abstracting key content from one or more information sources [6]. Summarization includes text summarization, image summarization, and video summarization. Text summarization is one of application of natural language processing and is becoming more popular for information condensation [1].Information is accessible in great quantity for every topic on internet assembly the key information in the form of summary would benefit a number of users. Automatic text summarization system generates a summary, i.e. it contains short length text which comprises all the key information of the document. Summary can be generated through extractive as well as abstractive methods.

References
  1. . Johnson, Todd, S. Thede, and A. Vlahov. "PARE: An Automatic Text Summarizer." First Midstates Conference for Undergraduate Research in Computer Science and Mathematics. 2003.
  2. . Madhyastha, Harsha V., N. Balakrishnan, and K. R. Ramakrishnan. "Event information extraction using link grammar." Research Issues in Data Engineering: Multi-lingual Information Management, 2003. RIDE-MLIM 2003. Proceedings. 13th International Workshop on. IEEE, 2003.
  3. . Zang pie-ying et al, “Automatic text summarization based on sentence clustering and extraction” IEEE, 2009.
  4. . Udo Hahn et al. “The Challenges of Automatic Summarization ” IEEE, 2010.
  5. . Sonia Haiduc et al, “On the Use of Automated Text Summarization Techniques for Summarizing Source Code”, 17th Working Conference on Reverse Engineering IEEE,2010.
  6. . Y. Surendranadha Reddy, “An Efficient Approach for Web document summarization by Sentence Ranking”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 7, July 2012.
  7. . Wang, Xuping, et al. "The application of automatic summarization technology in document management." Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on. IEEE, 2013.
  8. . Kamal Sarkar, el at “Automatic Single Document Text Summarization Using Key Concepts in Documents” , J Inf Process Syst, Vol.9, No.4, pp.602-620, December 2013.
  9. . E.Padma Lahari et,“Automatic Text Summarization with Statistical and Linguistic Feature using Successive Thresholds” IEEE(ICACCCT), 2014.
  10. . Luciano Cabral el at,“Automatic Summarization of News Articles for Mobile Devices”. Fourteenth Mexican International Conference on Artificial Intelligence,2015.
Index Terms

Computer Science
Information Sciences

Keywords

Extractive Abstractive natural language processing

Powered by PhDFocusTM